Artificial Neural Networks Icann 2007

Author : Joaquim Marques de Sá,Luis A. Alexandre,Wlodzislaw Duch,Danilo Mandic
Publisher : Springer
Page : 990 pages
File Size : 50,7 Mb
Release : 2007-09-14
Category : Computers
ISBN : 9783540746959

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Artificial Neural Networks - ICANN 2007 by Joaquim Marques de Sá,Luis A. Alexandre,Wlodzislaw Duch,Danilo Mandic Pdf

This book is the second of a two-volume set that constitutes the refereed proceedings of the 17th International Conference on Artificial Neural Networks, ICANN 2007. It features contributions related to computational neuroscience, neurocognitive studies, applications in biomedicine and bioinformatics, pattern recognition, self-organization, text mining and internet applications, signal and times series processing, vision and image processing, robotics, control, and more.

Author : Joaquim Marques de Sá,Luis A. Alexandre,Wlodzislaw Duch,Danilo Mandic
Publisher : Springer
Page : 980 pages
File Size : 49,7 Mb
Release : 2007-09-14
Category : Computers
ISBN : 9783540746904

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Artificial Neural Networks - ICANN 2007 by Joaquim Marques de Sá,Luis A. Alexandre,Wlodzislaw Duch,Danilo Mandic Pdf

This book is the first of a two-volume set that constitutes the refereed proceedings of the 17th International Conference on Artificial Neural Networks, ICANN 2007, held in Porto, Portugal, September 2007. Coverage includes advances in neural network learning methods, advances in neural network architectures, neural dynamics and complex systems, data analysis, evolutionary computing, agents learning, as well as temporal synchronization and nonlinear dynamics in neural networks.

Author : Anonim
Publisher : Unknown
Page : 1968 pages
File Size : 47,5 Mb
Release : 2007
Category : Electronic
ISBN : OCLC:799759236

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Artificial Neural Networks - ICANN 2007 by Anonim Pdf

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 51,8 Mb
Release : 2007
Category : Electronic
ISBN : OCLC:209111894

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Artificial Neural Networks - ICANN 2007 by Anonim Pdf

Author : Cesare Alippi,Marios M. Polycarpou,Christos Panayiotou,Georgios Ellinas
Publisher : Springer
Page : 1002 pages
File Size : 54,7 Mb
Release : 2009-10-01
Category : Computers
ISBN : 9783642042775

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Artificial Neural Networks – ICANN 2009 by Cesare Alippi,Marios M. Polycarpou,Christos Panayiotou,Georgios Ellinas Pdf

This volume is part of the two-volume proceedings of the 19th International Conf- ence on Artificial Neural Networks (ICANN 2009), which was held in Cyprus during September 14–17, 2009. The ICANN conference is an annual meeting sp- sored by the European Neural Network Society (ENNS), in cooperation with the - ternational Neural Network Society (INNS) and the Japanese Neural Network Society (JNNS). ICANN 2009 was technically sponsored by the IEEE Computational Intel- gence Society. This series of conferences has been held annually since 1991 in various European countries and covers the field of neurocomputing, learning systems and related areas. Artificial neural networks provide an information-processing structure inspired by biological nervous systems. They consist of a large number of highly interconnected processing elements, with the capability of learning by example. The field of artificial neural networks has evolved significantly in the last two decades, with active partici- tion from diverse fields, such as engineering, computer science, mathematics, artificial intelligence, system theory, biology, operations research, and neuroscience. Artificial neural networks have been widely applied for pattern recognition, control, optimization, image processing, classification, signal processing, etc.

Author : Timo Honkela,Włodzisław Duch,Mark Girolami,Samuel Kaski
Publisher : Springer
Page : 474 pages
File Size : 52,8 Mb
Release : 2011-06-13
Category : Computers
ISBN : 9783642217388

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Artificial Neural Networks and Machine Learning - ICANN 2011 by Timo Honkela,Włodzisław Duch,Mark Girolami,Samuel Kaski Pdf

This two volume set (LNCS 6791 and LNCS 6792) constitutes the refereed proceedings of the 21th International Conference on Artificial Neural Networks, ICANN 2011, held in Espoo, Finland, in June 2011. The 106 revised full or poster papers presented were carefully reviewed and selected from numerous submissions. ICANN 2011 had two basic tracks: brain-inspired computing and machine learning research, with strong cross-disciplinary interactions and applications.

Author : Stefanos Kollias
Publisher : Springer Science & Business Media
Page : 1060 pages
File Size : 41,8 Mb
Release : 2006
Category : Artificial intelligence
ISBN : 9783540388715

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Artificial Neural Networks - ICANN 2006 by Stefanos Kollias Pdf

Author : Konstantinos Diamantaras,Wlodek Duch,Lazaros S. Iliadis
Publisher : Springer
Page : 575 pages
File Size : 49,8 Mb
Release : 2010-09-13
Category : Computers
ISBN : 9783642158254

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Artificial Neural Networks - ICANN 2010 by Konstantinos Diamantaras,Wlodek Duch,Lazaros S. Iliadis Pdf

th This volume is part of the three-volume proceedings of the 20 International Conference on Arti?cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September 15–18, 2010. ICANN is an annual meeting sponsored by the European Neural Network Society (ENNS) in cooperation with the International Neural Network So- ety (INNS) and the Japanese Neural Network Society (JNNS). This series of conferences has been held annually since 1991 in Europe, covering the ?eld of neurocomputing, learning systems and other related areas. As in the past 19 events, ICANN 2010 provided a distinguished, lively and interdisciplinary discussion forum for researches and scientists from around the globe. Ito?eredagoodchanceto discussthe latestadvancesofresearchandalso all the developments and applications in the area of Arti?cial Neural Networks (ANNs). ANNs provide an information processing structure inspired by biolo- cal nervous systems and they consist of a large number of highly interconnected processing elements (neurons). Each neuron is a simple processor with a limited computing capacity typically restricted to a rule for combining input signals (utilizing an activation function) in order to calculate the output one. Output signalsmaybesenttootherunitsalongconnectionsknownasweightsthatexcite or inhibit the signal being communicated. ANNs have the ability “to learn” by example (a large volume of cases) through several iterations without requiring a priori ?xed knowledge of the relationships between process parameters.

Author : Georg Dorffner,Horst Bischof,Kurt Hornik
Publisher : Springer
Page : 1262 pages
File Size : 42,7 Mb
Release : 2003-05-15
Category : Computers
ISBN : 9783540446682

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Artificial Neural Networks - ICANN 2001 by Georg Dorffner,Horst Bischof,Kurt Hornik Pdf

This book is based on the papers presented at the International Conference on Arti?cial Neural Networks, ICANN 2001, from August 21–25, 2001 at the - enna University of Technology, Austria. The conference is organized by the A- trian Research Institute for Arti?cal Intelligence in cooperation with the Pattern Recognition and Image Processing Group and the Center for Computational - telligence at the Vienna University of Technology. The ICANN conferences were initiated in 1991 and have become the major European meeting in the ?eld of neural networks. From about 300 submitted papers, the program committee selected 171 for publication. Each paper has been reviewed by three program committee m- bers/reviewers. We would like to thank all the members of the program comm- tee and the reviewers for their great e?ort in the reviewing process and helping us to set up a scienti?c program of high quality. In addition, we have invited eight speakers; three of their papers are also included in the proceedings. We would like to thank the European Neural Network Society (ENNS) for their support. We acknowledge the ?nancial support of Austrian Airlines, A- trian Science Foundation (FWF) under the contract SFB 010, Austrian Society ̈ for Arti?cial Intelligence (OGAI), Bank Austria, and the Vienna Convention Bureau. We would like to express our sincere thanks to A. Flexer, W. Horn, K. Hraby, F. Leisch, C. Schittenkopf, and A. Weingessel. The conference and the proceedings would not have been possible without their enormous contri- tion.

Author : Konstantinos Diamantaras,Wlodek Duch,Lazaros S. Iliadis
Publisher : Springer Science & Business Media
Page : 558 pages
File Size : 43,8 Mb
Release : 2010-09-03
Category : Computers
ISBN : 9783642158216

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Artificial Neural Networks - ICANN 2010 by Konstantinos Diamantaras,Wlodek Duch,Lazaros S. Iliadis Pdf

This three volume set LNCS 6352, LNCS 6353, and LNCS 6354 constitutes the refereed proceedings of the 20th International Conference on Artificial Neural Networks, ICANN 2010, held in Thessaloniki, Greece, in September 2010. The 102 revised full papers, 68 short papers and 29 posters presented were carefully reviewed and selected from 241 submissions. The second volume is divided in topical sections on Kernel algorithms – support vector machines, knowledge engineering and decision making, recurrent ANN, reinforcement learning, robotics, self organizing ANN, adaptive algorithms – systems, and optimization.

Author : Jose R. Dorronsoro
Publisher : Springer
Page : 1384 pages
File Size : 54,8 Mb
Release : 2003-08-03
Category : Computers
ISBN : 9783540460848

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Artificial Neural Networks — ICANN 2002 by Jose R. Dorronsoro Pdf

The International Conferences on Arti?cial Neural Networks, ICANN, have been held annually since 1991 and over the years have become the major European meeting in neural networks. This proceedings volume contains all the papers presented at ICANN 2002, the 12th ICANN conference, held in August 28– 30, 2002 at the Escuela T ́ecnica Superior de Inform ́atica of the Universidad Aut ́onoma de Madrid and organized by its Neural Networks group. ICANN 2002 received a very high number of contributions, more than 450. Almost all papers were revised by three independent reviewers, selected among the more than 240 serving at this year’s ICANN, and 221 papers were ?nally selected for publication in these proceedings (due to space considerations, quite a few good contributions had to be left out). I would like to thank the Program Committee and all the reviewers for the great collective e?ort and for helping us to have a high quality conference.

Author : Alessandro E.P. Villa,Paolo Masulli,Antonio Javier Pons Rivero
Publisher : Springer
Page : 567 pages
File Size : 44,5 Mb
Release : 2016-08-26
Category : Computers
ISBN : 9783319447780

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Artificial Neural Networks and Machine Learning – ICANN 2016 by Alessandro E.P. Villa,Paolo Masulli,Antonio Javier Pons Rivero Pdf

The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions. They were organized in topical sections named: from neurons to networks; networks and dynamics; higher nervous functions; neuronal hardware; learning foundations; deep learning; classifications and forecasting; and recognition and navigation. There are 47 short paper abstracts that are included in the back matter of the volume.

Author : Stefanos Kollias,Andreas Stafylopatis,Wlodzislaw Duch,Erkki Oja
Publisher : Springer
Page : 1008 pages
File Size : 44,5 Mb
Release : 2006-09-01
Category : Computers
ISBN : 9783540386278

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Artificial Neural Networks - ICANN 2006 by Stefanos Kollias,Andreas Stafylopatis,Wlodzislaw Duch,Erkki Oja Pdf

The two-volume set LNCS 4131 and LNCS 4132 constitutes the refereed proceedings of the 16th International Conference on Artificial Neural Networks, ICANN 2006. The set presents 208 revised full papers, carefully reviewed and selected from 475 submissions. This first volume presents 103 papers, organized in topical sections on feature selection and dimension reduction for regression, learning algorithms, advances in neural network learning methods, ensemble learning, hybrid architectures, and more.

Author : Alessandra Lintas,Stefano Rovetta,Paul F.M.J. Verschure,Alessandro E.P. Villa
Publisher : Springer
Page : 815 pages
File Size : 40,9 Mb
Release : 2017-10-24
Category : Computers
ISBN : 9783319686127

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Artificial Neural Networks and Machine Learning – ICANN 2017 by Alessandra Lintas,Stefano Rovetta,Paul F.M.J. Verschure,Alessandro E.P. Villa Pdf

The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks, ICANN 2017, held in Alghero, Italy, in September 2017. The 128 full papers included in this volume were carefully reviewed and selected from 270 submissions. They were organized in topical sections named: From Perception to Action; From Neurons to Networks; Brain Imaging; Recurrent Neural Networks; Neuromorphic Hardware; Brain Topology and Dynamics; Neural Networks Meet Natural and Environmental Sciences; Convolutional Neural Networks; Games and Strategy; Representation and Classification; Clustering; Learning from Data Streams and Time Series; Image Processing and Medical Applications; Advances in Machine Learning. There are 63 short paper abstracts that are included in the back matter of the volume.

Author : Cesare Alippi,Marios M. Polycarpou,Christos Panayiotou,Georgios Ellinas
Publisher : Springer
Page : 1030 pages
File Size : 53,9 Mb
Release : 2009-09-16
Category : Computers
ISBN : 9783642042744

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Artificial Neural Networks – ICANN 2009 by Cesare Alippi,Marios M. Polycarpou,Christos Panayiotou,Georgios Ellinas Pdf

This volume is part of the two-volume proceedings of the 19th International Conf- ence on Artificial Neural Networks (ICANN 2009), which was held in Cyprus during September 14–17, 2009. The ICANN conference is an annual meeting sp- sored by the European Neural Network Society (ENNS), in cooperation with the - ternational Neural Network Society (INNS) and the Japanese Neural Network Society (JNNS). ICANN 2009 was technically sponsored by the IEEE Computational Intel- gence Society. This series of conferences has been held annually since 1991 in various European countries and covers the field of neurocomputing, learning systems and related areas. Artificial neural networks provide an information-processing structure inspired by biological nervous systems. They consist of a large number of highly interconnected processing elements, with the capability of learning by example. The field of artificial neural networks has evolved significantly in the last two decades, with active partici- tion from diverse fields, such as engineering, computer science, mathematics, artificial intelligence, system theory, biology, operations research, and neuroscience. Artificial neural networks have been widely applied for pattern recognition, control, optimization, image processing, classification, signal processing, etc.